---
title: "Who cites Camel Morph MSA: A Large-Scale Open-Source…"
description: "The papers of the Elamur Research library that cite «Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic», found…"
canonical: "https://research.elamur.ai/free/en/papers/coling-2024-khairallah-camel-morph-msa-large-scale/cited-by/"
---
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# Who cites «Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic»

6 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/coling-2024-khairallah-camel-morph-msa-large-scale/)

1. [A Comprehensive Full-Form Lexicon for Arabic NLP and Speech Technology](https://md.research.elamur.ai/free/en/papers/lingbulk-2026-haralambous-comprehensive-full-form-lexicon-arabic/) *— our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [A Large and Balanced Multi-Domain Arabic Corpus Annotated for Morphology, Syntax, and Readability](https://aclanthology.org/2026.lrec-1.921/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2026-reda-yallamorph-benchmark-evaluating-arabic-morphological/) *— our card · 2026 · arXiv:2609.10153*
4. [A Derivational ChainBank for Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-marzouk-derivational-chainbank-modern-standard-arabic/) *— our card · 2025 · Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script*
5. [Can Language Models Handle a Non-Gregorian Calendar? The Case of the Japanese wareki](https://aclanthology.org/2025.ijcnlp-short.36/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
6. [Lemmatization as a Classification Task: Results from Arabic across Multiple Genres](https://md.research.elamur.ai/free/en/papers/ctx-2025-saeed-lemmatization-as-classification-task-results/) *— our card · 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
